{"id":"https://openalex.org/W2811327621","doi":"https://doi.org/10.1145/3208854.3208881","title":"Two-scale Image Fusion of Visible and Infrared Images Using Guided Filter","display_name":"Two-scale Image Fusion of Visible and Infrared Images Using Guided Filter","publication_year":2018,"publication_date":"2018-03-28","ids":{"openalex":"https://openalex.org/W2811327621","doi":"https://doi.org/10.1145/3208854.3208881","mag":"2811327621"},"language":"en","primary_location":{"id":"doi:10.1145/3208854.3208881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208854.3208881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101677703","display_name":"Xiaobei Wang","orcid":"https://orcid.org/0000-0001-6811-3587"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobei Wang","raw_affiliation_strings":["Yunnan University, School of Information Science and Engineering, Kunming, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University, School of Information Science and Engineering, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080341760","display_name":"Rencan Nie","orcid":"https://orcid.org/0000-0003-0568-1231"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rencan Nie","raw_affiliation_strings":["Yunnan University, School of Information Science and Engineering, Kunming, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University, School of Information Science and Engineering, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014286651","display_name":"Xiaopeng Guo","orcid":"https://orcid.org/0000-0003-1111-2035"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Guo","raw_affiliation_strings":["Yunnan University, School of Information Science and Engineering, Kunming, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University, School of Information Science and Engineering, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.8368,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78525933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6757556200027466},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6741118431091309},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6648032069206238},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6165834665298462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094828248023987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5370432734489441},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5236313343048096},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5198290944099426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47432559728622437},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17140644788742065},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10518333315849304},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06683999300003052},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.04958075284957886}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6757556200027466},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6741118431091309},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6648032069206238},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6165834665298462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094828248023987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370432734489441},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5236313343048096},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5198290944099426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47432559728622437},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17140644788742065},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10518333315849304},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06683999300003052},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.04958075284957886},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3208854.3208881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208854.3208881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318025","display_name":"Karpagam Academy of Higher Education","ror":"https://ror.org/00ssvzv66"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W775204488","https://openalex.org/W1870190791","https://openalex.org/W1928965571","https://openalex.org/W1962010357","https://openalex.org/W1970985144","https://openalex.org/W1974188685","https://openalex.org/W1979763049","https://openalex.org/W2056346283","https://openalex.org/W2065428319","https://openalex.org/W2075756899","https://openalex.org/W2088931003","https://openalex.org/W2091484864","https://openalex.org/W2103504761","https://openalex.org/W2104623955","https://openalex.org/W2116702374","https://openalex.org/W2142884912","https://openalex.org/W2160956336","https://openalex.org/W2256359941","https://openalex.org/W2351876574","https://openalex.org/W2390376423","https://openalex.org/W2573033085","https://openalex.org/W2621579106","https://openalex.org/W6640974819"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2350422455","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Infrared":[0],"(IR)":[1],"and":[2,20,39,52,67,84,111,125,151,156],"visible":[3,157],"(VIS)":[4],"image":[5,12,41,104,158],"fusion":[6,42,77,94],"techniques":[7],"can":[8,14,141],"get":[9],"a":[10,36,58],"new":[11],"which":[13],"represent":[15],"the":[16,23,26,31,64,85,102,109,120,131,138],"scene":[17],"exactly,":[18],"entirely":[19],"reliably.":[21],"Combined":[22],"advantages":[24],"of":[25,33,122,147],"two-scale":[27,59],"decomposition":[28],"(TSD)":[29],"with":[30,57,74,91],"characteristic":[32],"guided":[34,75,92],"filter,":[35],"novel":[37],"IR":[38,51,124],"VIS":[40,53,126],"framework":[43],"is":[44,79,96,105],"proposed":[45,115,139],"in":[46,145],"this":[47],"paper.":[48],"Firstly,":[49],"both":[50],"images":[54,127],"are":[55],"decomposed":[56],"average":[60],"filter":[61],"to":[62,81,98],"generate":[63],"base":[65,82,110],"layers":[66],"detail":[68,99,112],"layers.":[69,113],"Second,":[70],"phase":[71],"congruency":[72],"(PC)":[73],"filtering":[76,93],"rule":[78,95],"applied":[80,97],"layer":[83],"larger":[86],"Sum":[87],"Modified":[88],"Laplacian":[89],"(SML)":[90],"layer.":[100],"Finally,":[101],"resultant":[103],"reconstructed":[106],"by":[107],"adding":[108],"The":[114],"method":[116],"not":[117],"only":[118],"preserves":[119],"details":[121],"source":[123],"but":[128],"also":[129],"suppress":[130],"artifacts":[132],"effectively.":[133],"Experimental":[134],"results":[135],"show":[136],"that":[137],"approach":[140],"achieve":[142],"excellent":[143],"performance":[144],"terms":[146],"subjective":[148],"visual":[149],"effect":[150],"objective":[152],"assessment":[153],"for":[154],"infrared":[155],"fusion.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}